Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	110
Missing cells	129
Missing cells (%)	4.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	25.0 KiB
Average record size in memory	233.2 B

Variable types

Numeric	9
Categorical	20

Alerts

`airdate` has constant value "2020-12-17"	Constant
`url` has a high cardinality: 110 distinct values	High cardinality
`name` has a high cardinality: 97 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 84 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 84 distinct values	High cardinality
`_embedded_show_premiered` has a high cardinality: 64 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 77 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 75 distinct values	High cardinality
`_links_self_href` has a high cardinality: 110 distinct values	High cardinality
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`season` is highly correlated with `number`	High correlation
`number` is highly correlated with `season` and 2 other fields	High correlation
`runtime` is highly correlated with `number` and 2 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `number` and 2 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`name` is highly correlated with `airdate` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_name` and 11 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_name` and 5 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`summary` is highly correlated with `_embedded_show_officialSite` and 4 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 4 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`airdate` is highly correlated with `name` and 16 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_name` and 5 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_ended` and 4 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`image` is highly correlated with `name` and 16 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 5 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 5 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_name` and 5 other fields	High correlation
`id` is highly correlated with `name` and 12 other fields	High correlation
`name` is highly correlated with `id` and 20 other fields	High correlation
`season` is highly correlated with `name` and 9 other fields	High correlation
`number` is highly correlated with `name` and 12 other fields	High correlation
`type` is highly correlated with `name` and 9 other fields	High correlation
`airtime` is highly correlated with `airstamp` and 9 other fields	High correlation
`airstamp` is highly correlated with `name` and 14 other fields	High correlation
`runtime` is highly correlated with `id` and 15 other fields	High correlation
`image` is highly correlated with `id` and 22 other fields	High correlation
`summary` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_type` is highly correlated with `name` and 16 other fields	High correlation
`_embedded_show_language` is highly correlated with `airstamp` and 8 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_status` is highly correlated with `name` and 15 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `name` and 15 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `name` and 13 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 13 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_weight` is highly correlated with `name` and 13 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `name` and 6 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 11 other fields	High correlation
`number` has 3 (2.7%) missing values	Missing
`runtime` has 10 (9.1%) missing values	Missing
`image` has 78 (70.9%) missing values	Missing
`_embedded_show_runtime` has 34 (30.9%) missing values	Missing
`_embedded_show_averageRuntime` has 4 (3.6%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`image` is uniformly distributed	Uniform
`_embedded_show_url` is uniformly distributed	Uniform
`_embedded_show_name` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 02:15:11.466889
Analysis finished	2022-05-10 02:16:04.802133
Duration	53.34 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	110
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2014744.909

Minimum	1732625
Maximum	2289378
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1008.0 B

Quantile statistics

Minimum	1732625
5-th percentile	1951969.55
Q1	1980491
median	1988632
Q3	2008336.75
95-th percentile	2202065.05
Maximum	2289378
Range	556753
Interquartile range (IQR)	27845.75

Descriptive statistics

Standard deviation	82526.6339
Coefficient of variation (CV)	0.0409613314
Kurtosis	3.732099296
Mean	2014744.909
Median Absolute Deviation (MAD)	11707
Skewness	1.230236556
Sum	221621940
Variance	6810645303
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1988861	1	0.9%
1985471	1	0.9%
2000061	1	0.9%
2000060	1	0.9%
1997517	1	0.9%
1997516	1	0.9%
1990901	1	0.9%
1988403	1	0.9%
1985698	1	0.9%
1985697	1	0.9%
Other values (100)	100	90.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1732625	1	0.9%
1806590	1	0.9%
1949910	1	0.9%
1949911	1	0.9%
1950367	1	0.9%
1950701	1	0.9%
1953520	1	0.9%
1960728	1	0.9%
1962891	1	0.9%
1963998	1	0.9%

Value	Count	Frequency (%)
2289378	1	0.9%
2289323	1	0.9%
2251369	1	0.9%
2236493	1	0.9%
2205977	1	0.9%
2205976	1	0.9%
2197285	1	0.9%
2189553	1	0.9%
2176134	1	0.9%
2169201	1	0.9%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	110
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

https://www.tvmaze.com/episodes/1988861/sim-for-you-4x23-chanyeols-episode-23	1
https://www.tvmaze.com/episodes/1985471/you-complete-me-1x15-episode-15	1
https://www.tvmaze.com/episodes/2000061/ultimate-note-1x14-episode-14	1
https://www.tvmaze.com/episodes/2000060/ultimate-note-1x13-episode-13	1
https://www.tvmaze.com/episodes/1997517/the-penalty-zone-1x10-episode-10	1
Other values (105)	105

Length

Max length	150
Median length	104.5
Mean length	81.85454545
Min length	58

Characters and Unicode

Total characters	9004
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	110 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1988861/sim-for-you-4x23-chanyeols-episode-23
2nd row	https://www.tvmaze.com/episodes/1977892/obycnaa-zensina-2x01-seria-10
3rd row	https://www.tvmaze.com/episodes/1977898/obycnaa-zensina-2x02-seria-11
4th row	https://www.tvmaze.com/episodes/1963998/257-pricin-ctoby-zit-2x08-seria-21
5th row	https://www.tvmaze.com/episodes/1949910/smesariki-novyj-sezon-1x31-emigrant-cast-1

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1988861/sim-for-you-4x23-chanyeols-episode-23	1	0.9%
https://www.tvmaze.com/episodes/1985471/you-complete-me-1x15-episode-15	1	0.9%
https://www.tvmaze.com/episodes/2000061/ultimate-note-1x14-episode-14	1	0.9%
https://www.tvmaze.com/episodes/2000060/ultimate-note-1x13-episode-13	1	0.9%
https://www.tvmaze.com/episodes/1997517/the-penalty-zone-1x10-episode-10	1	0.9%
https://www.tvmaze.com/episodes/1997516/the-penalty-zone-1x09-episode-9	1	0.9%
https://www.tvmaze.com/episodes/1990901/nimra-etnin-1x08-hush-hush	1	0.9%
https://www.tvmaze.com/episodes/1988403/love-teenager-1x01-i-kissed-my-handsome-guy-friend-at-school	1	0.9%
https://www.tvmaze.com/episodes/1985698/schulz-saves-america-1x04-a-nation-divided-crybaby-cooper-and-tantruming-tucker-are-tearing-the-country-in-two	1	0.9%
https://www.tvmaze.com/episodes/1985697/schulz-saves-america-1x03-black-lives-matter-protests-police-and-hollywood-hypocrites	1	0.9%
Other values (100)	100	90.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1988861/sim-for-you-4x23-chanyeols-episode-23	1	0.9%
https://www.tvmaze.com/episodes/2169060/after-mom-falls-asleep-4x16-kai	1	0.9%
https://www.tvmaze.com/episodes/1963998/257-pricin-ctoby-zit-2x08-seria-21	1	0.9%
https://www.tvmaze.com/episodes/1949910/smesariki-novyj-sezon-1x31-emigrant-cast-1	1	0.9%
https://www.tvmaze.com/episodes/1949911/smesariki-novyj-sezon-1x32-zag	1	0.9%
https://www.tvmaze.com/episodes/1960728/psih-1x07-osoznanie	1	0.9%
https://www.tvmaze.com/episodes/1982405/volk-1x07-seria-07	1	0.9%
https://www.tvmaze.com/episodes/1982406/volk-1x08-seria-08	1	0.9%
https://www.tvmaze.com/episodes/1988012/muzskaa-tema-1x01-seria-1	1	0.9%
https://www.tvmaze.com/episodes/1985787/theres-a-pit-in-my-senior-martial-brothers-brain-2x09-episode-9	1	0.9%
Other values (100)	100	90.9%

Most occurring characters

Value	Count	Frequency (%)
e	755	8.4%
-	711	7.9%
s	590	6.6%
t	564	6.3%
/	550	6.1%
o	452	5.0%
i	366	4.1%
w	365	4.1%
a	363	4.0%
m	340	3.8%
Other values (30)	3948	43.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6139	68.2%
Decimal Number	1274	14.1%
Other Punctuation	880	9.8%
Dash Punctuation	711	7.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	755	12.3%
s	590	9.6%
t	564	9.2%
o	452	7.4%
i	366	6.0%
w	365	5.9%
a	363	5.9%
m	340	5.5%
p	332	5.4%
d	244	4.0%
Other values (16)	1768	28.8%

Decimal Number

Value	Count	Frequency (%)
1	271	21.3%
0	183	14.4%
2	169	13.3%
9	162	12.7%
7	92	7.2%
3	90	7.1%
8	88	6.9%
5	80	6.3%
6	76	6.0%
4	63	4.9%

Other Punctuation

Value	Count	Frequency (%)
/	550	62.5%
.	220	25.0%
:	110	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	711	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6139	68.2%
Common	2865	31.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	755	12.3%
s	590	9.6%
t	564	9.2%
o	452	7.4%
i	366	6.0%
w	365	5.9%
a	363	5.9%
m	340	5.5%
p	332	5.4%
d	244	4.0%
Other values (16)	1768	28.8%

Common

Value	Count	Frequency (%)
-	711	24.8%
/	550	19.2%
1	271	9.5%
.	220	7.7%
0	183	6.4%
2	169	5.9%
9	162	5.7%
:	110	3.8%
7	92	3.2%
3	90	3.1%
Other values (4)	307	10.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9004	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	755	8.4%
-	711	7.9%
s	590	6.6%
t	564	6.3%
/	550	6.1%
o	452	5.0%
i	366	4.1%
w	365	4.1%
a	363	4.0%
m	340	3.8%
Other values (30)	3948	43.8%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	97
Distinct (%)	88.2%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

Episode 9	3
Episode 3	3
Episode 5	3
Episode 26	2
Blippi Visits The Horse And Reindeer Farm \| Animals For Kids	2
Other values (92)	97

Length

Max length	85
Median length	59
Mean length	20.17272727
Min length	3

Characters and Unicode

Total characters	2219
Distinct characters	129
Distinct categories	12 ?
Distinct scripts	4 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	87 ?
Unique (%)	79.1%

Sample

1st row	Chanyeol's Episode 23
2nd row	Серия 10
3rd row	Серия 11
4th row	Серия 21
5th row	Эмигрант. Часть 1

Common Values

Value	Count	Frequency (%)
Episode 9	3	2.7%
Episode 3	3	2.7%
Episode 5	3	2.7%
Episode 26	2	1.8%
Blippi Visits The Horse And Reindeer Farm \| Animals For Kids	2	1.8%
Episode 19	2	1.8%
Episode 10	2	1.8%
Terra Firma, Part 2	2	1.8%
Episode 2	2	1.8%
2. Bölüm	2	1.8%
Other values (87)	87	79.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	33	8.4%
the	16	4.1%
and	12	3.0%
2	7	1.8%
серия	6	1.5%
1	6	1.5%
3	5	1.3%
	5	1.3%
bölüm	4	1.0%
17	3	0.8%
Other values (255)	297	75.4%

Most occurring characters

Value	Count	Frequency (%)
	284	12.8%
e	157	7.1%
i	122	5.5%
o	111	5.0%
s	104	4.7%
r	94	4.2%
d	84	3.8%
n	84	3.8%
a	83	3.7%
t	64	2.9%
Other values (119)	1032	46.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1457	65.7%
Uppercase Letter	299	13.5%
Space Separator	284	12.8%
Decimal Number	113	5.1%
Other Punctuation	43	1.9%
Other Letter	10	0.5%
Dash Punctuation	3	0.1%
Close Punctuation	2	0.1%
Math Symbol	2	0.1%
Initial Punctuation	2	0.1%
Other values (2)	4	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	157	10.8%
i	122	8.4%
o	111	7.6%
s	104	7.1%
r	94	6.5%
d	84	5.8%
n	84	5.8%
a	83	5.7%
t	64	4.4%
p	54	3.7%
Other values (48)	500	34.3%

Uppercase Letter

Value	Count	Frequency (%)
E	48	16.1%
T	22	7.4%
H	22	7.4%
P	21	7.0%
A	18	6.0%
C	18	6.0%
M	15	5.0%
S	15	5.0%
F	12	4.0%
O	12	4.0%
Other values (26)	96	32.1%

Decimal Number

Value	Count	Frequency (%)
1	26	23.0%
2	25	22.1%
0	16	14.2%
3	10	8.8%
9	9	8.0%
5	8	7.1%
6	8	7.1%
7	5	4.4%
4	3	2.7%
8	3	2.7%

Other Punctuation

Value	Count	Frequency (%)
:	14	32.6%
.	8	18.6%
,	8	18.6%
'	5	11.6%
#	2	4.7%
"	2	4.7%
!	2	4.7%
?	1	2.3%
&	1	2.3%

Other Letter

Value	Count	Frequency (%)
م	2	20.0%
ي	1	10.0%
د	1	10.0%
أ	1	10.0%
ر	1	10.0%
ا	1	10.0%
ض	1	10.0%
ف	1	10.0%
ة	1	10.0%

Space Separator

Value	Count	Frequency (%)
	284	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Initial Punctuation

Value	Count	Frequency (%)
«	2	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1522	68.6%
Common	453	20.4%
Cyrillic	234	10.5%
Arabic	10	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	157	10.3%
i	122	8.0%
o	111	7.3%
s	104	6.8%
r	94	6.2%
d	84	5.5%
n	84	5.5%
a	83	5.5%
t	64	4.2%
p	54	3.5%
Other values (45)	565	37.1%

Cyrillic

Value	Count	Frequency (%)
и	26	11.1%
е	23	9.8%
р	15	6.4%
т	15	6.4%
с	15	6.4%
а	14	6.0%
н	13	5.6%
я	10	4.3%
о	9	3.8%
л	8	3.4%
Other values (29)	86	36.8%

Common

Value	Count	Frequency (%)
	284	62.7%
1	26	5.7%
2	25	5.5%
0	16	3.5%
:	14	3.1%
3	10	2.2%
9	9	2.0%
.	8	1.8%
5	8	1.8%
,	8	1.8%
Other values (16)	45	9.9%

Arabic

Value	Count	Frequency (%)
م	2	20.0%
ي	1	10.0%
د	1	10.0%
أ	1	10.0%
ر	1	10.0%
ا	1	10.0%
ض	1	10.0%
ف	1	10.0%
ة	1	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1959	88.3%
Cyrillic	234	10.5%
None	16	0.7%
Arabic	10	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	284	14.5%
e	157	8.0%
i	122	6.2%
o	111	5.7%
s	104	5.3%
r	94	4.8%
d	84	4.3%
n	84	4.3%
a	83	4.2%
t	64	3.3%
Other values (63)	772	39.4%

Cyrillic

Value	Count	Frequency (%)
и	26	11.1%
е	23	9.8%
р	15	6.4%
т	15	6.4%
с	15	6.4%
а	14	6.0%
н	13	5.6%
я	10	4.3%
о	9	3.8%
л	8	3.4%
Other values (29)	86	36.8%

None

Value	Count	Frequency (%)
ö	4	25.0%
ü	4	25.0%
«	2	12.5%
»	2	12.5%
ä	1	6.2%
å	1	6.2%
ã	1	6.2%
ó	1	6.2%

Arabic

Value	Count	Frequency (%)
م	2	20.0%
ي	1	10.0%
د	1	10.0%
أ	1	10.0%
ر	1	10.0%
ا	1	10.0%
ض	1	10.0%
ف	1	10.0%
ة	1	10.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	13.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	168.0545455

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1008.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	555.3892236
Coefficient of variation (CV)	3.304815244
Kurtosis	7.708986622
Mean	168.0545455
Median Absolute Deviation (MAD)	0
Skewness	3.093149918
Sum	18486
Variance	308457.1897
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	63	57.3%
2	15	13.6%
2020	9	8.2%
3	7	6.4%
4	5	4.5%
5	2	1.8%
10	1	0.9%
8	1	0.9%
13	1	0.9%
18	1	0.9%
Other values (5)	5	4.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	63	57.3%
2	15	13.6%
3	7	6.4%
4	5	4.5%
5	2	1.8%
7	1	0.9%
8	1	0.9%
9	1	0.9%
10	1	0.9%
13	1	0.9%

Value	Count	Frequency (%)
2020	9	8.2%
51	1	0.9%
31	1	0.9%
18	1	0.9%
15	1	0.9%
13	1	0.9%
10	1	0.9%
9	1	0.9%
8	1	0.9%
7	1	0.9%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	43
Distinct (%)	40.2%
Missing	3
Missing (%)	2.7%
Infinite	0
Infinite (%)	0.0%
Mean	25.94392523

Minimum	1
Maximum	344
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1008.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	9
Q3	21.5
95-th percentile	97.3
Maximum	344
Range	343
Interquartile range (IQR)	17.5

Descriptive statistics

Standard deviation	55.92259336
Coefficient of variation (CV)	2.155517828
Kurtosis	20.61319166
Mean	25.94392523
Median Absolute Deviation (MAD)	7
Skewness	4.397568889
Sum	2776
Variance	3127.336449
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
2	10	9.1%
1	9	8.2%
7	7	6.4%
3	6	5.5%
6	6	5.5%
10	6	5.5%
5	5	4.5%
8	5	4.5%
9	5	4.5%
4	4	3.6%
Other values (33)	44	40.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	9	8.2%
2	10	9.1%
3	6	5.5%
4	4	3.6%
5	5	4.5%
6	6	5.5%
7	7	6.4%
8	5	4.5%
9	5	4.5%
10	6	5.5%

Value	Count	Frequency (%)
344	1	0.9%
308	1	0.9%
307	1	0.9%
154	1	0.9%
120	1	0.9%
103	1	0.9%
84	1	0.9%
68	1	0.9%
64	1	0.9%
58	1	0.9%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

regular	107
insignificant_special	3

Length

Max length	21
Median length	7
Mean length	7.381818182
Min length	7

Characters and Unicode

Total characters	812
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	107	97.3%
insignificant_special	3	2.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	107	97.3%
insignificant_special	3	2.7%

Most occurring characters

Value	Count	Frequency (%)
r	214	26.4%
a	113	13.9%
e	110	13.5%
g	110	13.5%
l	110	13.5%
u	107	13.2%
i	15	1.8%
n	9	1.1%
s	6	0.7%
c	6	0.7%
Other values (4)	12	1.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	809	99.6%
Connector Punctuation	3	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	214	26.5%
a	113	14.0%
e	110	13.6%
g	110	13.6%
l	110	13.6%
u	107	13.2%
i	15	1.9%
n	9	1.1%
s	6	0.7%
c	6	0.7%
Other values (3)	9	1.1%

Connector Punctuation

Value	Count	Frequency (%)
_	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	809	99.6%
Common	3	0.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	214	26.5%
a	113	14.0%
e	110	13.6%
g	110	13.6%
l	110	13.6%
u	107	13.2%
i	15	1.9%
n	9	1.1%
s	6	0.7%
c	6	0.7%
Other values (3)	9	1.1%

Common

Value	Count	Frequency (%)
_	3	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	812	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	214	26.4%
a	113	13.9%
e	110	13.5%
g	110	13.5%
l	110	13.5%
u	107	13.2%
i	15	1.8%
n	9	1.1%
s	6	0.7%
c	6	0.7%
Other values (4)	12	1.5%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

2020-12-17	110

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1100
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-17
2nd row	2020-12-17
3rd row	2020-12-17
4th row	2020-12-17
5th row	2020-12-17

Common Values

Value	Count	Frequency (%)
2020-12-17	110	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-17	110	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	330	30.0%
0	220	20.0%
-	220	20.0%
1	220	20.0%
7	110	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	880	80.0%
Dash Punctuation	220	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	330	37.5%
0	220	25.0%
1	220	25.0%
7	110	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	220	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1100	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	330	30.0%
0	220	20.0%
-	220	20.0%
1	220	20.0%
7	110	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	330	30.0%
0	220	20.0%
-	220	20.0%
1	220	20.0%
7	110	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

nan	81
20:00	6
12:00	5
10:00	3
06:00	2
Other values (11)	13

Length

Max length	5
Median length	3
Mean length	3.527272727
Min length	3

Characters and Unicode

Total characters	388
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	8.2%

Sample

1st row	06:00
2nd row	10:00
3rd row	10:00
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	81	73.6%
20:00	6	5.5%
12:00	5	4.5%
10:00	3	2.7%
06:00	2	1.8%
21:00	2	1.8%
22:00	2	1.8%
11:00	1	0.9%
17:35	1	0.9%
17:00	1	0.9%
Other values (6)	6	5.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	81	73.6%
20:00	6	5.5%
12:00	5	4.5%
10:00	3	2.7%
06:00	2	1.8%
21:00	2	1.8%
22:00	2	1.8%
11:00	1	0.9%
17:35	1	0.9%
17:00	1	0.9%
Other values (6)	6	5.5%

Most occurring characters

Value	Count	Frequency (%)
n	162	41.8%
a	81	20.9%
0	66	17.0%
:	29	7.5%
2	20	5.2%
1	18	4.6%
5	3	0.8%
9	3	0.8%
6	2	0.5%
7	2	0.5%
Other values (2)	2	0.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	243	62.6%
Decimal Number	116	29.9%
Other Punctuation	29	7.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	66	56.9%
2	20	17.2%
1	18	15.5%
5	3	2.6%
9	3	2.6%
6	2	1.7%
7	2	1.7%
3	1	0.9%
8	1	0.9%

Lowercase Letter

Value	Count	Frequency (%)
n	162	66.7%
a	81	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	243	62.6%
Common	145	37.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	66	45.5%
:	29	20.0%
2	20	13.8%
1	18	12.4%
5	3	2.1%
9	3	2.1%
6	2	1.4%
7	2	1.4%
3	1	0.7%
8	1	0.7%

Latin

Value	Count	Frequency (%)
n	162	66.7%
a	81	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	388	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	162	41.8%
a	81	20.9%
0	66	17.0%
:	29	7.5%
2	20	5.2%
1	18	4.6%
5	3	0.8%
9	3	0.8%
6	2	0.5%
7	2	0.5%
Other values (2)	2	0.5%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	22
Distinct (%)	20.0%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

2020-12-17T12:00:00+00:00	41
2020-12-17T04:00:00+00:00	13
2020-12-17T17:00:00+00:00	10
2020-12-17T00:00:00+00:00	7
2020-12-17T11:00:00+00:00	7
Other values (17)	32

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2750
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	7.3%

Sample

1st row	2020-12-16T21:00:00+00:00
2nd row	2020-12-16T22:00:00+00:00
3rd row	2020-12-16T22:00:00+00:00
4th row	2020-12-17T00:00:00+00:00
5th row	2020-12-17T00:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-17T12:00:00+00:00	41	37.3%
2020-12-17T04:00:00+00:00	13	11.8%
2020-12-17T17:00:00+00:00	10	9.1%
2020-12-17T00:00:00+00:00	7	6.4%
2020-12-17T11:00:00+00:00	7	6.4%
2020-12-17T09:00:00+00:00	5	4.5%
2020-12-17T03:00:00+00:00	4	3.6%
2020-12-17T14:00:00+00:00	3	2.7%
2020-12-17T10:00:00+00:00	2	1.8%
2020-12-16T22:00:00+00:00	2	1.8%
Other values (12)	16	14.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-17t12:00:00+00:00	41	37.3%
2020-12-17t04:00:00+00:00	13	11.8%
2020-12-17t17:00:00+00:00	10	9.1%
2020-12-17t00:00:00+00:00	7	6.4%
2020-12-17t11:00:00+00:00	7	6.4%
2020-12-17t09:00:00+00:00	5	4.5%
2020-12-17t03:00:00+00:00	4	3.6%
2020-12-17t14:00:00+00:00	3	2.7%
2020-12-17t05:00:00+00:00	2	1.8%
2020-12-17t08:00:00+00:00	2	1.8%
Other values (12)	16	14.5%

Most occurring characters

Value	Count	Frequency (%)
0	1143	41.6%
2	379	13.8%
:	330	12.0%
1	296	10.8%
-	220	8.0%
7	116	4.2%
T	110	4.0%
+	110	4.0%
4	16	0.6%
3	9	0.3%
Other values (4)	21	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1980	72.0%
Other Punctuation	330	12.0%
Dash Punctuation	220	8.0%
Uppercase Letter	110	4.0%
Math Symbol	110	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1143	57.7%
2	379	19.1%
1	296	14.9%
7	116	5.9%
4	16	0.8%
3	9	0.5%
9	6	0.3%
8	6	0.3%
5	6	0.3%
6	3	0.2%

Other Punctuation

Value	Count	Frequency (%)
:	330	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	220	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	110	100.0%

Math Symbol

Value	Count	Frequency (%)
+	110	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2640	96.0%
Latin	110	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1143	43.3%
2	379	14.4%
:	330	12.5%
1	296	11.2%
-	220	8.3%
7	116	4.4%
+	110	4.2%
4	16	0.6%
3	9	0.3%
9	6	0.2%
Other values (3)	15	0.6%

Latin

Value	Count	Frequency (%)
T	110	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1143	41.6%
2	379	13.8%
:	330	12.0%
1	296	10.8%
-	220	8.0%
7	116	4.2%
T	110	4.0%
+	110	4.0%
4	16	0.6%
3	9	0.3%
Other values (4)	21	0.8%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	35
Distinct (%)	35.0%
Missing	10
Missing (%)	9.1%
Infinite	0
Infinite (%)	0.0%
Mean	38.95

Minimum	6
Maximum	240
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1008.0 B

Quantile statistics

Minimum	6
5-th percentile	7.95
Q1	18
median	41
Q3	45
95-th percentile	73.85
Maximum	240
Range	234
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	30.4290448
Coefficient of variation (CV)	0.7812334995
Kurtosis	19.2943411
Mean	38.95
Median Absolute Deviation (MAD)	16
Skewness	3.448321864
Sum	3895
Variance	925.9267677
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
45	22	20.0%
20	7	6.4%
30	7	6.4%
60	6	5.5%
12	5	4.5%
18	5	4.5%
42	4	3.6%
7	3	2.7%
120	3	2.7%
17	3	2.7%
Other values (25)	35	31.8%
(Missing)	10	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	2	1.8%
7	3	2.7%
8	2	1.8%
10	1	0.9%
12	5	4.5%
13	1	0.9%
15	3	2.7%
16	1	0.9%
17	3	2.7%
18	5	4.5%

Value	Count	Frequency (%)
240	1	0.9%
120	3	2.7%
90	1	0.9%
73	1	0.9%
61	1	0.9%
60	6	5.5%
59	1	0.9%
54	1	0.9%
53	1	0.9%
51	3	2.7%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	32
Distinct (%)	100.0%
Missing	78
Missing (%)	70.9%
Memory size	1008.0 B

{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/341/854100.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/341/854100.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720705.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720705.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/732257.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/732257.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/363/908141.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/363/908141.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726711.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726711.jpg'}	1
Other values (27)	27

Length

Max length	178
Median length	176
Mean length	176.0625
Min length	176

Characters and Unicode

Total characters	5634
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	32 ?
Unique (%)	100.0%

Sample

1st row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723163.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723163.jpg'}
2nd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723164.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723164.jpg'}
3rd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/301/752692.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/301/752692.jpg'}
4th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/294/737157.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/294/737157.jpg'}
5th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723252.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723252.jpg'}

Common Values

Value	Count	Frequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/341/854100.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/341/854100.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720705.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720705.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/732257.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/732257.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/363/908141.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/363/908141.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726711.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726711.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/731964.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/731964.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723341.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723341.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/377/944452.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/377/944452.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726728.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726728.jpg'}	1	0.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726727.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726727.jpg'}	1	0.9%
Other values (22)	22	20.0%
(Missing)	78	70.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	32	25.0%
original	32	25.0%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723198.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/288/721856.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/original_untouched/288/720566.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/288/720566.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/original_untouched/407/1018513.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/medium_landscape/407/1018513.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/original_untouched/289/723198.jpg	1	0.8%
https://static.tvmaze.com/uploads/images/original_untouched/289/723167.jpg	1	0.8%
Other values (56)	56	43.8%

Most occurring characters

Value	Count	Frequency (%)
/	448	8.0%
a	384	6.8%
t	352	6.2%
m	320	5.7%
i	320	5.7%
s	288	5.1%
e	256	4.5%
'	256	4.5%
o	224	4.0%
p	224	4.0%
Other values (28)	2562	45.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3776	67.0%
Other Punctuation	1056	18.7%
Decimal Number	578	10.3%
Space Separator	96	1.7%
Connector Punctuation	64	1.1%
Close Punctuation	32	0.6%
Open Punctuation	32	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	384	10.2%
t	352	9.3%
m	320	8.5%
i	320	8.5%
s	288	7.6%
e	256	6.8%
o	224	5.9%
p	224	5.9%
g	192	5.1%
c	192	5.1%
Other values (9)	1024	27.1%

Decimal Number

Value	Count	Frequency (%)
2	120	20.8%
7	88	15.2%
9	60	10.4%
3	58	10.0%
8	58	10.0%
1	46	8.0%
0	46	8.0%
6	40	6.9%
4	32	5.5%
5	30	5.2%

Other Punctuation

Value	Count	Frequency (%)
/	448	42.4%
'	256	24.2%
.	192	18.2%
:	128	12.1%
,	32	3.0%

Space Separator

Value	Count	Frequency (%)
	96	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	64	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	32	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	32	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3776	67.0%
Common	1858	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	448	24.1%
'	256	13.8%
.	192	10.3%
:	128	6.9%
2	120	6.5%
	96	5.2%
7	88	4.7%
_	64	3.4%
9	60	3.2%
3	58	3.1%
Other values (9)	348	18.7%

Latin

Value	Count	Frequency (%)
a	384	10.2%
t	352	9.3%
m	320	8.5%
i	320	8.5%
s	288	7.6%
e	256	6.8%
o	224	5.9%
p	224	5.9%
g	192	5.1%
c	192	5.1%
Other values (9)	1024	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5634	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	448	8.0%
a	384	6.8%
t	352	6.2%
m	320	5.7%
i	320	5.7%
s	288	5.1%
e	256	4.5%
'	256	4.5%
o	224	4.0%
p	224	4.0%
Other values (28)	2562	45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	26
Distinct (%)	23.6%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

nan	85
<p><b>#Scared Meㅇㅍㅇ #Under The Sea♬ #The Last Supper</b></p>	1
<p>Jason goes on a date with a woman who is forced to bring her young son along, and it's clear he has no home training. The date quickly goes bad and leads him back to Carmen. Bryan deals with the fallout of his relationship much to the crew's dismay. Lacy gets the call for a new opportunity. Carmen makes herself comfortable in Jason's life.</p>	1
<p>AJ starts exuding some odd behavior as he protests to go back to Baltimore. Mounting inconsistencies emerge about Corey that leaves Sam in doubt.</p>	1
<p>Perhaps the biggest rivalry in six-man football, the Greyhounds take on their cross-town rival, the Gordon Longhorns with all of Strawn watching.</p>	1
Other values (21)	21

Length

Max length	498
Median length	3
Mean length	54.46363636
Min length	3

Characters and Unicode

Total characters	5991
Distinct characters	74
Distinct categories	11 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	25 ?
Unique (%)	22.7%

Sample

1st row	<p><b>#Scared Meㅇㅍㅇ #Under The Sea♬ #The Last Supper</b></p>
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	85	77.3%
<p><b>#Scared Meㅇㅍㅇ #Under The Sea♬ #The Last Supper</b></p>	1	0.9%
<p>Jason goes on a date with a woman who is forced to bring her young son along, and it's clear he has no home training. The date quickly goes bad and leads him back to Carmen. Bryan deals with the fallout of his relationship much to the crew's dismay. Lacy gets the call for a new opportunity. Carmen makes herself comfortable in Jason's life.</p>	1	0.9%
<p>AJ starts exuding some odd behavior as he protests to go back to Baltimore. Mounting inconsistencies emerge about Corey that leaves Sam in doubt.</p>	1	0.9%
<p>Perhaps the biggest rivalry in six-man football, the Greyhounds take on their cross-town rival, the Gordon Longhorns with all of Strawn watching.</p>	1	0.9%
<p>Cynthia is in disbelief as she has finally caught Malcolm and Sarah in their long-standing affair. Ruth shares troubling news with Oliver about what really happens when the girls leave with Lilo. The Highest and River's relationship grows as Dikahn's dislike for River grows. </p>	1	0.9%
<p>Hosted by D.J. "Shangela" Pierce (HBO's "We're Here," "RuPaul's Drag Race," "A Star Is Born"), this reunion special is a chance for Chad, Faith, Garrett and their love interests to unwrap everything that's gone down since last Christmas - from settling scores and revealing juicy behind-the-scenes stories to unmasking secret hookups and answering whether our couples stayed together... or said goodbye. With her trademark flair, humor and insight, Shangela stokes the Yule log fire.</p>	1	0.9%
<p>It's Alive with Brad Leone is back for episode 77 and this time Brad is learning all about oyster reefs. Join Brad in New York Harbor as he learns how oyster shells are put to work after restaurants dispose of them. New York Harbor used to have 220,000 acres of oyster reefs, but it only took 100 years to harvest them all once Europeans arrived. That's where Billion Oyster Project comes in -- recreating New York's lost oyster fields. And Brad's here to help.</p>	1	0.9%
<p>Oscar, Hedgehog and Puddle must figure out what's wrong with the King when he orders the aliens to turn all the planet's</p>	1	0.9%
<p>Hedgehog and Oscar discover alien jesters who live under the floorboards of the castle.</p>	1	0.9%
Other values (16)	16	14.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	85	8.3%
the	55	5.3%
and	34	3.3%
to	33	3.2%
of	17	1.7%
on	14	1.4%
her	13	1.3%
a	13	1.3%
with	13	1.3%
in	12	1.2%
Other values (560)	741	71.9%

Most occurring characters

Value	Count	Frequency (%)
	918	15.3%
e	541	9.0%
n	468	7.8%
a	422	7.0%
t	359	6.0%
o	328	5.5%
r	310	5.2%
s	298	5.0%
i	277	4.6%
h	261	4.4%
Other values (64)	1809	30.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4512	75.3%
Space Separator	921	15.4%
Uppercase Letter	237	4.0%
Other Punctuation	175	2.9%
Math Symbol	112	1.9%
Decimal Number	13	0.2%
Dash Punctuation	11	0.2%
Close Punctuation	3	0.1%
Open Punctuation	3	0.1%
Other Letter	3	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	541	12.0%
n	468	10.4%
a	422	9.4%
t	359	8.0%
o	328	7.3%
r	310	6.9%
s	298	6.6%
i	277	6.1%
h	261	5.8%
l	179	4.0%
Other values (16)	1069	23.7%

Uppercase Letter

Value	Count	Frequency (%)
S	21	8.9%
T	21	8.9%
M	18	7.6%
A	15	6.3%
B	15	6.3%
C	14	5.9%
H	13	5.5%
J	12	5.1%
W	11	4.6%
L	9	3.8%
Other values (13)	88	37.1%

Other Punctuation

Value	Count	Frequency (%)
.	57	32.6%
,	44	25.1%
/	28	16.0%
'	27	15.4%
"	10	5.7%
:	3	1.7%
#	3	1.7%
?	1	0.6%
!	1	0.6%
%	1	0.6%

Decimal Number

Value	Count	Frequency (%)
0	6	46.2%
9	2	15.4%
2	2	15.4%
7	2	15.4%
1	1	7.7%

Space Separator

Value	Count	Frequency (%)
	918	99.7%
	3	0.3%

Math Symbol

Value	Count	Frequency (%)
<	56	50.0%
>	56	50.0%

Other Letter

Value	Count	Frequency (%)
ㅇ	2	66.7%
ㅍ	1	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Other Symbol

Value	Count	Frequency (%)
♬	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4749	79.3%
Common	1239	20.7%
Hangul	3	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	541	11.4%
n	468	9.9%
a	422	8.9%
t	359	7.6%
o	328	6.9%
r	310	6.5%
s	298	6.3%
i	277	5.8%
h	261	5.5%
l	179	3.8%
Other values (39)	1306	27.5%

Common

Value	Count	Frequency (%)
	918	74.1%
.	57	4.6%
<	56	4.5%
>	56	4.5%
,	44	3.6%
/	28	2.3%
'	27	2.2%
-	11	0.9%
"	10	0.8%
0	6	0.5%
Other values (13)	26	2.1%

Hangul

Value	Count	Frequency (%)
ㅇ	2	66.7%
ㅍ	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5984	99.9%
None	3	0.1%
Compat Jamo	3	0.1%
Misc Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	918	15.3%
e	541	9.0%
n	468	7.8%
a	422	7.1%
t	359	6.0%
o	328	5.5%
r	310	5.2%
s	298	5.0%
i	277	4.6%
h	261	4.4%
Other values (60)	1802	30.1%

None

Value	Count	Frequency (%)
	3	100.0%

Compat Jamo

Value	Count	Frequency (%)
ㅇ	2	66.7%
ㅍ	1	33.3%

Misc Symbols

Value	Count	Frequency (%)
♬	1	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	84
Distinct (%)	76.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45508.27273

Minimum	2504
Maximum	60848
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1008.0 B

Quantile statistics

Minimum	2504
5-th percentile	15886.75
Q1	41946.75
median	50916
Q3	52780
95-th percentile	58002.05
Maximum	60848
Range	58344
Interquartile range (IQR)	10833.25

Descriptive statistics

Standard deviation	12811.4031
Coefficient of variation (CV)	0.2815181137
Kurtosis	2.100194084
Mean	45508.27273
Median Absolute Deviation (MAD)	2959
Skewness	-1.660858619
Sum	5005910
Variance	164132049.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
52618	4	3.6%
52435	4	3.6%
26643	3	2.7%
49843	3	2.7%
54762	2	1.8%
47912	2	1.8%
52806	2	1.8%
52743	2	1.8%
58689	2	1.8%
52799	2	1.8%
Other values (74)	84	76.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2504	1	0.9%
6544	1	0.9%
7480	1	0.9%
13215	1	0.9%
15250	2	1.8%
16665	1	0.9%
16753	1	0.9%
17046	1	0.9%
17078	1	0.9%
26268	1	0.9%

Value	Count	Frequency (%)
60848	2	1.8%
59853	1	0.9%
58689	2	1.8%
58367	1	0.9%
57556	1	0.9%
57385	1	0.9%
56848	1	0.9%
56605	1	0.9%
56253	1	0.9%
54762	2	1.8%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	84
Distinct (%)	76.4%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

https://www.tvmaze.com/shows/52618/unter-freunden-stirbt-man-nicht	4
https://www.tvmaze.com/shows/52435/schulz-saves-america	4
https://www.tvmaze.com/shows/26643/summer-camp-island	3
https://www.tvmaze.com/shows/49843/aile-sirketi	3
https://www.tvmaze.com/shows/54762/youths-in-the-breeze	2
Other values (79)	94

Length

Max length	83
Median length	57
Mean length	50.50909091
Min length	39

Characters and Unicode

Total characters	5556
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	58.2%

Sample

1st row	https://www.tvmaze.com/shows/41648/sim-for-you
2nd row	https://www.tvmaze.com/shows/39115/obycnaa-zensina
3rd row	https://www.tvmaze.com/shows/39115/obycnaa-zensina
4th row	https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit
5th row	https://www.tvmaze.com/shows/48151/smesariki-novyj-sezon

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52618/unter-freunden-stirbt-man-nicht	4	3.6%
https://www.tvmaze.com/shows/52435/schulz-saves-america	4	3.6%
https://www.tvmaze.com/shows/26643/summer-camp-island	3	2.7%
https://www.tvmaze.com/shows/49843/aile-sirketi	3	2.7%
https://www.tvmaze.com/shows/54762/youths-in-the-breeze	2	1.8%
https://www.tvmaze.com/shows/47912/the-wolf	2	1.8%
https://www.tvmaze.com/shows/52806/ultimate-note	2	1.8%
https://www.tvmaze.com/shows/52743/the-penalty-zone	2	1.8%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	1.8%
https://www.tvmaze.com/shows/52799/futmallscom	2	1.8%
Other values (74)	84	76.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/52618/unter-freunden-stirbt-man-nicht	4	3.6%
https://www.tvmaze.com/shows/52435/schulz-saves-america	4	3.6%
https://www.tvmaze.com/shows/26643/summer-camp-island	3	2.7%
https://www.tvmaze.com/shows/49843/aile-sirketi	3	2.7%
https://www.tvmaze.com/shows/53830/witches	2	1.8%
https://www.tvmaze.com/shows/15250/the-young-turks	2	1.8%
https://www.tvmaze.com/shows/60848/blippi	2	1.8%
https://www.tvmaze.com/shows/52780/mermaid-prince	2	1.8%
https://www.tvmaze.com/shows/52181/volk	2	1.8%
https://www.tvmaze.com/shows/52105/be-with-you	2	1.8%
Other values (74)	84	76.4%

Most occurring characters

Value	Count	Frequency (%)
/	550	9.9%
w	463	8.3%
t	460	8.3%
s	443	8.0%
o	314	5.7%
e	303	5.5%
m	285	5.1%
h	280	5.0%
a	227	4.1%
.	220	4.0%
Other values (29)	2011	36.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3928	70.7%
Other Punctuation	880	15.8%
Decimal Number	558	10.0%
Dash Punctuation	190	3.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	463	11.8%
t	460	11.7%
s	443	11.3%
o	314	8.0%
e	303	7.7%
m	285	7.3%
h	280	7.1%
a	227	5.8%
c	160	4.1%
p	140	3.6%
Other values (15)	853	21.7%

Decimal Number

Value	Count	Frequency (%)
5	96	17.2%
4	68	12.2%
2	67	12.0%
8	55	9.9%
6	55	9.9%
1	53	9.5%
3	49	8.8%
0	49	8.8%
7	35	6.3%
9	31	5.6%

Other Punctuation

Value	Count	Frequency (%)
/	550	62.5%
.	220	25.0%
:	110	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	190	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3928	70.7%
Common	1628	29.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	463	11.8%
t	460	11.7%
s	443	11.3%
o	314	8.0%
e	303	7.7%
m	285	7.3%
h	280	7.1%
a	227	5.8%
c	160	4.1%
p	140	3.6%
Other values (15)	853	21.7%

Common

Value	Count	Frequency (%)
/	550	33.8%
.	220	13.5%
-	190	11.7%
:	110	6.8%
5	96	5.9%
4	68	4.2%
2	67	4.1%
8	55	3.4%
6	55	3.4%
1	53	3.3%
Other values (4)	164	10.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5556	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	550	9.9%
w	463	8.3%
t	460	8.3%
s	443	8.0%
o	314	5.7%
e	303	5.5%
m	285	5.1%
h	280	5.0%
a	227	4.1%
.	220	4.0%
Other values (29)	2011	36.2%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	84
Distinct (%)	76.4%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

Unter Freunden stirbt man nicht	4
Schulz Saves America	4
Summer Camp Island	3
Aile Şirketi	3
Youths in the Breeze	2
Other values (79)	94

Length

Max length	50
Median length	23
Mean length	15.8
Min length	4

Characters and Unicode

Total characters	1738
Distinct characters	105
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	64 ?
Unique (%)	58.2%

Sample

1st row	Sim for You
2nd row	Обычная женщина
3rd row	Обычная женщина
4th row	257 причин, чтобы жить
5th row	Смешарики. Новый сезон

Common Values

Value	Count	Frequency (%)
Unter Freunden stirbt man nicht	4	3.6%
Schulz Saves America	4	3.6%
Summer Camp Island	3	2.7%
Aile Şirketi	3	2.7%
Youths in the Breeze	2	1.8%
The Wolf	2	1.8%
Ultimate Note	2	1.8%
The Penalty Zone	2	1.8%
My Supernatural Power	2	1.8%
Futmalls.com	2	1.8%
Other values (74)	84	76.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	19	6.3%
you	5	1.7%
unter	4	1.3%
america	4	1.3%
love	4	1.3%
my	4	1.3%
island	4	1.3%
freunden	4	1.3%
nicht	4	1.3%
schulz	4	1.3%
Other values (186)	246	81.5%

Most occurring characters

Value	Count	Frequency (%)
	192	11.0%
e	175	10.1%
r	96	5.5%
t	93	5.4%
a	85	4.9%
i	82	4.7%
n	80	4.6%
o	77	4.4%
s	63	3.6%
h	53	3.0%
Other values (95)	742	42.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1245	71.6%
Uppercase Letter	264	15.2%
Space Separator	192	11.0%
Other Punctuation	26	1.5%
Decimal Number	11	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	175	14.1%
r	96	7.7%
t	93	7.5%
a	85	6.8%
i	82	6.6%
n	80	6.4%
o	77	6.2%
s	63	5.1%
h	53	4.3%
l	52	4.2%
Other values (46)	389	31.2%

Uppercase Letter

Value	Count	Frequency (%)
S	34	12.9%
T	32	12.1%
M	20	7.6%
B	17	6.4%
A	15	5.7%
W	14	5.3%
C	13	4.9%
F	11	4.2%
Y	10	3.8%
R	9	3.4%
Other values (25)	89	33.7%

Other Punctuation

Value	Count	Frequency (%)
'	6	23.1%
.	6	23.1%
:	5	19.2%
!	4	15.4%
,	2	7.7%
&	2	7.7%
?	1	3.8%

Decimal Number

Value	Count	Frequency (%)
2	5	45.5%
0	2	18.2%
7	1	9.1%
5	1	9.1%
1	1	9.1%
6	1	9.1%

Space Separator

Value	Count	Frequency (%)
	192	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1363	78.4%
Common	229	13.2%
Cyrillic	146	8.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	175	12.8%
r	96	7.0%
t	93	6.8%
a	85	6.2%
i	82	6.0%
n	80	5.9%
o	77	5.6%
s	63	4.6%
h	53	3.9%
l	52	3.8%
Other values (45)	507	37.2%

Cyrillic

Value	Count	Frequency (%)
н	13	8.9%
е	13	8.9%
а	12	8.2%
и	11	7.5%
о	11	7.5%
к	8	5.5%
ч	5	3.4%
я	5	3.4%
т	5	3.4%
ы	5	3.4%
Other values (26)	58	39.7%

Common

Value	Count	Frequency (%)
	192	83.8%
'	6	2.6%
.	6	2.6%
2	5	2.2%
:	5	2.2%
!	4	1.7%
,	2	0.9%
0	2	0.9%
&	2	0.9%
7	1	0.4%
Other values (4)	4	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1584	91.1%
Cyrillic	146	8.4%
None	8	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	192	12.1%
e	175	11.0%
r	96	6.1%
t	93	5.9%
a	85	5.4%
i	82	5.2%
n	80	5.1%
o	77	4.9%
s	63	4.0%
h	53	3.3%
Other values (54)	588	37.1%

Cyrillic

Value	Count	Frequency (%)
н	13	8.9%
е	13	8.9%
а	12	8.2%
и	11	7.5%
о	11	7.5%
к	8	5.5%
ч	5	3.4%
я	5	3.4%
т	5	3.4%
ы	5	3.4%
Other values (26)	58	39.7%

None

Value	Count	Frequency (%)
Ş	3	37.5%
ı	2	25.0%
ø	1	12.5%
Ç	1	12.5%
ğ	1	12.5%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

Scripted	64
Talk Show	15
Animation	10
Reality	9
Variety	4
Other values (4)	8

Length

Max length	11
Median length	8
Mean length	8.090909091
Min length	4

Characters and Unicode

Total characters	890
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.9%

Sample

1st row	Reality
2nd row	Scripted
3rd row	Scripted
4th row	Scripted
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	64	58.2%
Talk Show	15	13.6%
Animation	10	9.1%
Reality	9	8.2%
Variety	4	3.6%
Documentary	3	2.7%
News	2	1.8%
Sports	2	1.8%
Game Show	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	64	50.8%
show	16	12.7%
talk	15	11.9%
animation	10	7.9%
reality	9	7.1%
variety	4	3.2%
documentary	3	2.4%
news	2	1.6%
sports	2	1.6%
game	1	0.8%

Most occurring characters

Value	Count	Frequency (%)
i	97	10.9%
t	92	10.3%
e	83	9.3%
S	82	9.2%
r	73	8.2%
c	67	7.5%
p	66	7.4%
d	64	7.2%
a	42	4.7%
o	31	3.5%
Other values (17)	193	21.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	748	84.0%
Uppercase Letter	126	14.2%
Space Separator	16	1.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	97	13.0%
t	92	12.3%
e	83	11.1%
r	73	9.8%
c	67	9.0%
p	66	8.8%
d	64	8.6%
a	42	5.6%
o	31	4.1%
l	24	3.2%
Other values (8)	109	14.6%

Uppercase Letter

Value	Count	Frequency (%)
S	82	65.1%
T	15	11.9%
A	10	7.9%
R	9	7.1%
V	4	3.2%
D	3	2.4%
N	2	1.6%
G	1	0.8%

Space Separator

Value	Count	Frequency (%)
	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	874	98.2%
Common	16	1.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	97	11.1%
t	92	10.5%
e	83	9.5%
S	82	9.4%
r	73	8.4%
c	67	7.7%
p	66	7.6%
d	64	7.3%
a	42	4.8%
o	31	3.5%
Other values (16)	177	20.3%

Common

Value	Count	Frequency (%)
	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	890	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	97	10.9%
t	92	10.3%
e	83	9.3%
S	82	9.2%
r	73	8.2%
c	67	7.5%
p	66	7.4%
d	64	7.2%
a	42	4.7%
o	31	3.5%
Other values (17)	193	21.7%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

English	35
Chinese	23
Russian	15
Korean	10
German	5
Other values (11)	22

Length

Max length	10
Median length	7
Mean length	6.818181818
Min length	3

Characters and Unicode

Total characters	750
Distinct characters	32
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	4.5%

Sample

1st row	Korean
2nd row	Russian
3rd row	Russian
4th row	Russian
5th row	Russian

Common Values

Value	Count	Frequency (%)
English	35	31.8%
Chinese	23	20.9%
Russian	15	13.6%
Korean	10	9.1%
German	5	4.5%
Norwegian	4	3.6%
Turkish	4	3.6%
Arabic	3	2.7%
Thai	2	1.8%
Dutch	2	1.8%
Other values (6)	7	6.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	35	31.8%
chinese	23	20.9%
russian	15	13.6%
korean	10	9.1%
german	5	4.5%
norwegian	4	3.6%
turkish	4	3.6%
arabic	3	2.7%
thai	2	1.8%
dutch	2	1.8%
Other values (6)	7	6.4%

Most occurring characters

Value	Count	Frequency (%)
s	96	12.8%
n	95	12.7%
i	88	11.7%
e	70	9.3%
h	68	9.1%
a	45	6.0%
g	43	5.7%
l	37	4.9%
E	35	4.7%
r	28	3.7%
Other values (22)	145	19.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	641	85.5%
Uppercase Letter	109	14.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	96	15.0%
n	95	14.8%
i	88	13.7%
e	70	10.9%
h	68	10.6%
a	45	7.0%
g	43	6.7%
l	37	5.8%
r	28	4.4%
u	25	3.9%
Other values (10)	46	7.2%

Uppercase Letter

Value	Count	Frequency (%)
E	35	32.1%
C	23	21.1%
R	15	13.8%
K	10	9.2%
T	7	6.4%
G	5	4.6%
N	4	3.7%
A	3	2.8%
D	2	1.8%
P	2	1.8%
Other values (2)	3	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	750	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	96	12.8%
n	95	12.7%
i	88	11.7%
e	70	9.3%
h	68	9.1%
a	45	6.0%
g	43	5.7%
l	37	4.9%
E	35	4.7%
r	28	3.7%
Other values (22)	145	19.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	750	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	96	12.8%
n	95	12.7%
i	88	11.7%
e	70	9.3%
h	68	9.1%
a	45	6.0%
g	43	5.7%
l	37	4.9%
E	35	4.7%
r	28	3.7%
Other values (22)	145	19.3%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	34
Distinct (%)	30.9%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

[]	21
['Comedy']	16
['Drama', 'Romance']	13
['Drama', 'Comedy']	6
['Drama']	5
Other values (29)	49

Length

Max length	42
Median length	39
Mean length	17.02727273
Min length	2

Characters and Unicode

Total characters	1873
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	14.5%

Sample

1st row	[]
2nd row	['Drama', 'Crime', 'Mystery']
3rd row	['Drama', 'Crime', 'Mystery']
4th row	['Drama', 'Comedy']
5th row	['Comedy', 'Family']

Common Values

Value	Count	Frequency (%)
[]	21	19.1%
['Comedy']	16	14.5%
['Drama', 'Romance']	13	11.8%
['Drama', 'Comedy']	6	5.5%
['Drama']	5	4.5%
['Sports']	4	3.6%
['Drama', 'Action', 'Crime']	4	3.6%
['Comedy', 'Adventure', 'Fantasy']	3	2.7%
['Drama', 'Comedy', 'Romance']	3	2.7%
['Food']	3	2.7%
Other values (24)	32	29.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	47	23.5%
comedy	39	19.5%
romance	22	11.0%
	21	10.5%
adventure	11	5.5%
fantasy	10	5.0%
crime	9	4.5%
action	6	3.0%
mystery	6	3.0%
sports	4	2.0%
Other values (12)	25	12.5%

Most occurring characters

Value	Count	Frequency (%)
'	358	19.1%
a	142	7.6%
m	123	6.6%
e	112	6.0%
[	110	5.9%
]	110	5.9%
r	92	4.9%
	90	4.8%
,	90	4.8%
o	87	4.6%
Other values (25)	559	29.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	928	49.5%
Other Punctuation	448	23.9%
Uppercase Letter	184	9.8%
Open Punctuation	110	5.9%
Close Punctuation	110	5.9%
Space Separator	90	4.8%
Dash Punctuation	3	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	142	15.3%
m	123	13.3%
e	112	12.1%
r	92	9.9%
o	87	9.4%
y	67	7.2%
n	61	6.6%
d	56	6.0%
t	44	4.7%
c	38	4.1%
Other values (7)	106	11.4%

Uppercase Letter

Value	Count	Frequency (%)
C	50	27.2%
D	48	26.1%
R	22	12.0%
F	20	10.9%
A	20	10.9%
S	8	4.3%
M	7	3.8%
H	4	2.2%
T	2	1.1%
W	1	0.5%
Other values (2)	2	1.1%

Other Punctuation

Value	Count	Frequency (%)
'	358	79.9%
,	90	20.1%

Open Punctuation

Value	Count	Frequency (%)
[	110	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	110	100.0%

Space Separator

Value	Count	Frequency (%)
	90	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1112	59.4%
Common	761	40.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	142	12.8%
m	123	11.1%
e	112	10.1%
r	92	8.3%
o	87	7.8%
y	67	6.0%
n	61	5.5%
d	56	5.0%
C	50	4.5%
D	48	4.3%
Other values (19)	274	24.6%

Common

Value	Count	Frequency (%)
'	358	47.0%
[	110	14.5%
]	110	14.5%
	90	11.8%
,	90	11.8%
-	3	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1873	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	358	19.1%
a	142	7.6%
m	123	6.6%
e	112	6.0%
[	110	5.9%
]	110	5.9%
r	92	4.9%
	90	4.8%
,	90	4.8%
o	87	4.6%
Other values (25)	559	29.8%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

Running	52
Ended	51
To Be Determined	7

Length

Max length	16
Median length	7
Mean length	6.645454545
Min length	5

Characters and Unicode

Total characters	731
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Ended
4th row	Ended
5th row	Running

Common Values

Value	Count	Frequency (%)
Running	52	47.3%
Ended	51	46.4%
To Be Determined	7	6.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	52	41.9%
ended	51	41.1%
to	7	5.6%
be	7	5.6%
determined	7	5.6%

Most occurring characters

Value	Count	Frequency (%)
n	214	29.3%
d	109	14.9%
e	79	10.8%
i	59	8.1%
R	52	7.1%
u	52	7.1%
g	52	7.1%
E	51	7.0%
	14	1.9%
T	7	1.0%
Other values (6)	42	5.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	593	81.1%
Uppercase Letter	124	17.0%
Space Separator	14	1.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	214	36.1%
d	109	18.4%
e	79	13.3%
i	59	9.9%
u	52	8.8%
g	52	8.8%
o	7	1.2%
t	7	1.2%
r	7	1.2%
m	7	1.2%

Uppercase Letter

Value	Count	Frequency (%)
R	52	41.9%
E	51	41.1%
T	7	5.6%
B	7	5.6%
D	7	5.6%

Space Separator

Value	Count	Frequency (%)
	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	717	98.1%
Common	14	1.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	214	29.8%
d	109	15.2%
e	79	11.0%
i	59	8.2%
R	52	7.3%
u	52	7.3%
g	52	7.3%
E	51	7.1%
T	7	1.0%
o	7	1.0%
Other values (5)	35	4.9%

Common

Value	Count	Frequency (%)
	14	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	731	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	214	29.3%
d	109	14.9%
e	79	10.8%
i	59	8.1%
R	52	7.1%
u	52	7.1%
g	52	7.1%
E	51	7.0%
	14	1.9%
T	7	1.0%
Other values (6)	42	5.7%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	19
Distinct (%)	25.0%
Missing	34
Missing (%)	30.9%
Infinite	0
Infinite (%)	0.0%
Mean	41.52631579

Minimum	5
Maximum	240
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1008.0 B

Quantile statistics

Minimum	5
5-th percentile	7
Q1	24.5
median	45
Q3	45
95-th percentile	60.5
Maximum	240
Range	235
Interquartile range (IQR)	20.5

Descriptive statistics

Standard deviation	30.75601781
Coefficient of variation (CV)	0.7406392122
Kurtosis	23.37522679
Mean	41.52631579
Median Absolute Deviation (MAD)	15
Skewness	3.956515704
Sum	3156
Variance	945.9326316
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
45	24	21.8%
30	8	7.3%
20	8	7.3%
60	7	6.4%
7	4	3.6%
42	4	3.6%
50	3	2.7%
40	3	2.7%
16	2	1.8%
25	2	1.8%
Other values (9)	11	10.0%
(Missing)	34	30.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	0.9%
7	4	3.6%
8	1	0.9%
10	1	0.9%
16	2	1.8%
18	1	0.9%
20	8	7.3%
23	1	0.9%
25	2	1.8%
30	8	7.3%

Value	Count	Frequency (%)
240	1	0.9%
120	2	1.8%
62	1	0.9%
60	7	6.4%
51	2	1.8%
50	3	2.7%
45	24	21.8%
42	4	3.6%
40	3	2.7%
30	8	7.3%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	41
Distinct (%)	38.7%
Missing	4
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%
Mean	37.89622642

Minimum	2
Maximum	211
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1008.0 B

Quantile statistics

Minimum	2
5-th percentile	7.25
Q1	20
median	41
Q3	45
95-th percentile	63.5
Maximum	211
Range	209
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	27.5186272
Coefficient of variation (CV)	0.7261574515
Kurtosis	14.95461657
Mean	37.89622642
Median Absolute Deviation (MAD)	16
Skewness	2.887629588
Sum	4017
Variance	757.2748428
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
45	22	20.0%
60	6	5.5%
30	6	5.5%
7	5	4.5%
21	4	3.6%
50	4	3.6%
17	4	3.6%
20	4	3.6%
42	4	3.6%
11	4	3.6%
Other values (31)	43	39.1%
(Missing)	4	3.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.9%
7	5	4.5%
8	1	0.9%
9	1	0.9%
10	2	1.8%
11	4	3.6%
12	2	1.8%
14	1	0.9%
15	1	0.9%
16	2	1.8%

Value	Count	Frequency (%)
211	1	0.9%
120	2	1.8%
102	1	0.9%
77	1	0.9%
64	1	0.9%
62	1	0.9%
60	6	5.5%
57	3	2.7%
56	1	0.9%
54	1	0.9%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	64
Distinct (%)	58.2%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

2020-12-17	14
2020-12-10	7
2020-11-19	5
2020-11-26	4
2020-08-06	3
Other values (59)	77

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1100
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	41.8%

Sample

1st row	2019-03-25
2nd row	2018-10-29
3rd row	2018-10-29
4th row	2020-03-26
5th row	2020-05-18

Common Values

Value	Count	Frequency (%)
2020-12-17	14	12.7%
2020-12-10	7	6.4%
2020-11-19	5	4.5%
2020-11-26	4	3.6%
2020-08-06	3	2.7%
2020-12-07	3	2.7%
2018-07-07	3	2.7%
2020-12-03	3	2.7%
2020-11-18	3	2.7%
2020-11-12	3	2.7%
Other values (54)	62	56.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-17	14	12.7%
2020-12-10	7	6.4%
2020-11-19	5	4.5%
2020-11-26	4	3.6%
2020-08-06	3	2.7%
2020-12-07	3	2.7%
2018-07-07	3	2.7%
2020-12-03	3	2.7%
2020-11-18	3	2.7%
2020-11-12	3	2.7%
Other values (54)	62	56.4%

Most occurring characters

Value	Count	Frequency (%)
0	271	24.6%
2	253	23.0%
-	220	20.0%
1	197	17.9%
7	30	2.7%
8	28	2.5%
9	26	2.4%
3	25	2.3%
6	19	1.7%
4	17	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	880	80.0%
Dash Punctuation	220	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	271	30.8%
2	253	28.7%
1	197	22.4%
7	30	3.4%
8	28	3.2%
9	26	3.0%
3	25	2.8%
6	19	2.2%
4	17	1.9%
5	14	1.6%

Dash Punctuation

Value	Count	Frequency (%)
-	220	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1100	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	271	24.6%
2	253	23.0%
-	220	20.0%
1	197	17.9%
7	30	2.7%
8	28	2.5%
9	26	2.4%
3	25	2.3%
6	19	1.7%
4	17	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	271	24.6%
2	253	23.0%
-	220	20.0%
1	197	17.9%
7	30	2.7%
8	28	2.5%
9	26	2.4%
3	25	2.3%
6	19	1.7%
4	17	1.5%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	24
Distinct (%)	21.8%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

nan	59
2020-12-17	12
2020-12-24	5
2021-01-14	4
2020-12-18	3
Other values (19)	27

Length

Max length	10
Median length	3
Mean length	6.245454545
Min length	3

Characters and Unicode

Total characters	687
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	10.9%

Sample

1st row	nan
2nd row	2021-01-07
3rd row	2021-01-07
4th row	2021-01-21
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	59	53.6%
2020-12-17	12	10.9%
2020-12-24	5	4.5%
2021-01-14	4	3.6%
2020-12-18	3	2.7%
2021-10-07	3	2.7%
2020-12-28	2	1.8%
2021-01-04	2	1.8%
2020-12-22	2	1.8%
2021-01-02	2	1.8%
Other values (14)	16	14.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	59	53.6%
2020-12-17	12	10.9%
2020-12-24	5	4.5%
2021-01-14	4	3.6%
2020-12-18	3	2.7%
2021-10-07	3	2.7%
2021-01-02	2	1.8%
2021-01-07	2	1.8%
2020-12-30	2	1.8%
2020-12-22	2	1.8%
Other values (14)	16	14.5%

Most occurring characters

Value	Count	Frequency (%)
2	152	22.1%
n	118	17.2%
0	116	16.9%
-	102	14.8%
1	95	13.8%
a	59	8.6%
7	19	2.8%
4	12	1.7%
8	7	1.0%
5	3	0.4%
Other values (2)	4	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	408	59.4%
Lowercase Letter	177	25.8%
Dash Punctuation	102	14.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	152	37.3%
0	116	28.4%
1	95	23.3%
7	19	4.7%
4	12	2.9%
8	7	1.7%
5	3	0.7%
3	2	0.5%
6	2	0.5%

Lowercase Letter

Value	Count	Frequency (%)
n	118	66.7%
a	59	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	102	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	510	74.2%
Latin	177	25.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	152	29.8%
0	116	22.7%
-	102	20.0%
1	95	18.6%
7	19	3.7%
4	12	2.4%
8	7	1.4%
5	3	0.6%
3	2	0.4%
6	2	0.4%

Latin

Value	Count	Frequency (%)
n	118	66.7%
a	59	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	687	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	152	22.1%
n	118	17.2%
0	116	16.9%
-	102	14.8%
1	95	13.8%
a	59	8.6%
7	19	2.8%
4	12	1.7%
8	7	1.0%
5	3	0.4%
Other values (2)	4	0.6%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	77
Distinct (%)	70.0%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

nan	13
https://www.netflix.com/title/81383020	4
https://www.tvnow.de/serien/unter-freunden-stirbt-man-nicht-19005	4
https://www.beinconnect.com.tr/diziler/aile-sirketi	3
https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO	3
Other values (72)	83

Length

Max length	250
Median length	71
Mean length	47.85454545
Min length	3

Characters and Unicode

Total characters	5264
Distinct characters	75
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	55.5%

Sample

1st row	https://www.vlive.tv/video/121637
2nd row	https://premier.one/show/8405
3rd row	https://premier.one/show/8405
4th row	https://start.ru/watch/257-prichin-chtoby-zhit
5th row	https://www.kinopoisk.ru/series/1379016/

Common Values

Value	Count	Frequency (%)
nan	13	11.8%
https://www.netflix.com/title/81383020	4	3.6%
https://www.tvnow.de/serien/unter-freunden-stirbt-man-nicht-19005	4	3.6%
https://www.beinconnect.com.tr/diziler/aile-sirketi	3	2.7%
https://play.hbomax.com/series/urn:hbo:series:GXkyDLAgeBY7CZgEAACHO	3	2.7%
https://v.qq.com/detail/m/mzc00200gbahyn5.html	2	1.8%
https://www.iqiyi.com/lib/m_213579814.html	2	1.8%
https://v.youku.com/v_show/id_XNDk4OTUxMzg1Mg==.html?spm=a2hbt.13141534.0.13141534&s=6eefbfbd4befbfbd32ef	2	1.8%
https://www.iqiyi.com/a_19rrhllpip.html	2	1.8%
https://so.youku.com/search_video/q_%E9%A2%84%E6%94%AF%E6%9C%AA%E6%9D%A5?spm=a2hbt.13141534.left-title-content-wrap.5~A	2	1.8%
Other values (67)	73	66.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	13	11.8%
https://www.tvnow.de/serien/unter-freunden-stirbt-man-nicht-19005	4	3.6%
https://www.netflix.com/title/81383020	4	3.6%
https://www.beinconnect.com.tr/diziler/aile-sirketi	3	2.7%
https://play.hbomax.com/series/urn:hbo:series:gxkydlageby7czgeaacho	3	2.7%
https://premier.one/show/8405	2	1.8%
https://www.kinopoisk.ru/series/1379016	2	1.8%
https://premier.one/show/12339	2	1.8%
https://www.iqiyi.com/a_nvzsmw0tgx.html	2	1.8%
https://www.wavve.com/player/vod?programid=c9901_c99000000047&page=1	2	1.8%
Other values (67)	73	66.4%

Most occurring characters

Value	Count	Frequency (%)
/	394	7.5%
t	382	7.3%
e	267	5.1%
s	265	5.0%
w	221	4.2%
.	207	3.9%
o	202	3.8%
h	193	3.7%
i	192	3.6%
p	170	3.2%
Other values (65)	2771	52.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3354	63.7%
Other Punctuation	823	15.6%
Decimal Number	595	11.3%
Uppercase Letter	352	6.7%
Dash Punctuation	82	1.6%
Math Symbol	35	0.7%
Connector Punctuation	23	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	382	11.4%
e	267	8.0%
s	265	7.9%
w	221	6.6%
o	202	6.0%
h	193	5.8%
i	192	5.7%
p	170	5.1%
a	158	4.7%
n	155	4.6%
Other values (16)	1149	34.3%

Uppercase Letter

Value	Count	Frequency (%)
A	43	12.2%
D	27	7.7%
C	25	7.1%
E	23	6.5%
P	18	5.1%
L	16	4.5%
T	15	4.3%
Z	15	4.3%
B	14	4.0%
F	14	4.0%
Other values (16)	142	40.3%

Decimal Number

Value	Count	Frequency (%)
1	98	16.5%
0	75	12.6%
3	63	10.6%
9	61	10.3%
5	57	9.6%
4	57	9.6%
8	50	8.4%
6	50	8.4%
2	48	8.1%
7	36	6.1%

Other Punctuation

Value	Count	Frequency (%)
/	394	47.9%
.	207	25.2%
:	135	16.4%
%	57	6.9%
?	18	2.2%
&	8	1.0%
#	2	0.2%
!	2	0.2%

Math Symbol

Value	Count	Frequency (%)
=	31	88.6%
~	2	5.7%
+	2	5.7%

Dash Punctuation

Value	Count	Frequency (%)
-	82	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3706	70.4%
Common	1558	29.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	382	10.3%
e	267	7.2%
s	265	7.2%
w	221	6.0%
o	202	5.5%
h	193	5.2%
i	192	5.2%
p	170	4.6%
a	158	4.3%
n	155	4.2%
Other values (42)	1501	40.5%

Common

Value	Count	Frequency (%)
/	394	25.3%
.	207	13.3%
:	135	8.7%
1	98	6.3%
-	82	5.3%
0	75	4.8%
3	63	4.0%
9	61	3.9%
5	57	3.7%
4	57	3.7%
Other values (13)	329	21.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5264	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	394	7.5%
t	382	7.3%
e	267	5.1%
s	265	5.0%
w	221	4.2%
.	207	3.9%
o	202	3.8%
h	193	3.7%
i	192	3.6%
p	170	3.2%
Other values (65)	2771	52.6%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	50
Distinct (%)	45.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.83636364

Minimum	1
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1008.0 B

Quantile statistics

Minimum	1
5-th percentile	3.45
Q1	15
median	34
Q3	58.75
95-th percentile	91.65
Maximum	100
Range	99
Interquartile range (IQR)	43.75

Descriptive statistics

Standard deviation	28.05418325
Coefficient of variation (CV)	0.7223689507
Kurtosis	-0.7837724191
Mean	38.83636364
Median Absolute Deviation (MAD)	19.5
Skewness	0.620103632
Sum	4272
Variance	787.0371977
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	9	8.2%
18	6	5.5%
79	6	5.5%
39	6	5.5%
44	5	4.5%
14	5	4.5%
29	5	4.5%
34	4	3.6%
1	3	2.7%
54	3	2.7%
Other values (40)	58	52.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	2.7%
2	1	0.9%
3	2	1.8%
4	2	1.8%
5	1	0.9%
6	2	1.8%
7	1	0.9%
8	2	1.8%
10	1	0.9%
11	1	0.9%

Value	Count	Frequency (%)
100	2	1.8%
98	1	0.9%
94	1	0.9%
93	2	1.8%
90	1	0.9%
87	2	1.8%
84	1	0.9%
79	6	5.5%
78	1	0.9%
77	1	0.9%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

nan	109
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	1

Length

Max length	70
Median length	3
Mean length	3.609090909
Min length	3

Characters and Unicode

Total characters	397
Distinct characters	28
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.9%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	109	99.1%
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	1	0.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	109	93.2%
name	1	0.9%
korea	1	0.9%
republic	1	0.9%
of	1	0.9%
code	1	0.9%
kr	1	0.9%
timezone	1	0.9%
asia/seoul	1	0.9%

Most occurring characters

Value	Count	Frequency (%)
n	220	55.4%
a	112	28.2%
'	12	3.0%
e	7	1.8%
	7	1.8%
o	5	1.3%
i	3	0.8%
:	3	0.8%
,	3	0.8%
R	2	0.5%
Other values (18)	23	5.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	363	91.4%
Other Punctuation	19	4.8%
Space Separator	7	1.8%
Uppercase Letter	6	1.5%
Open Punctuation	1	0.3%
Close Punctuation	1	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	220	60.6%
a	112	30.9%
e	7	1.9%
o	5	1.4%
i	3	0.8%
c	2	0.6%
l	2	0.6%
u	2	0.6%
m	2	0.6%
p	1	0.3%
Other values (7)	7	1.9%

Other Punctuation

Value	Count	Frequency (%)
'	12	63.2%
:	3	15.8%
,	3	15.8%
/	1	5.3%

Uppercase Letter

Value	Count	Frequency (%)
R	2	33.3%
K	2	33.3%
A	1	16.7%
S	1	16.7%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	369	92.9%
Common	28	7.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	220	59.6%
a	112	30.4%
e	7	1.9%
o	5	1.4%
i	3	0.8%
R	2	0.5%
c	2	0.5%
l	2	0.5%
u	2	0.5%
K	2	0.5%
Other values (11)	12	3.3%

Common

Value	Count	Frequency (%)
'	12	42.9%
	7	25.0%
:	3	10.7%
,	3	10.7%
{	1	3.6%
/	1	3.6%
}	1	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	397	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	220	55.4%
a	112	28.2%
'	12	3.0%
e	7	1.8%
	7	1.8%
o	5	1.3%
i	3	0.8%
:	3	0.8%
,	3	0.8%
R	2	0.5%
Other values (18)	23	5.8%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	75
Distinct (%)	68.2%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

nan	11
<p>Comedian Andrew Schulz takes on the year's most divisive topics in this fearlessly unfiltered and irreverent four-part special.</p>	4
<p>Hermann has excellent prospects of winning the Nobel Prize in Economics. If only he hadn't died shortly before the award winner was announced. The dead don't win prizes.</p>	4
<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>	3
<p>Harun and Hande are brothers with opposite characters. Hande is a professional business woman in the tourism industry.</p>	3
Other values (70)	85

Length

Max length	978
Median length	471.5
Mean length	320.3
Min length	3

Characters and Unicode

Total characters	35233
Distinct characters	102
Distinct categories	12 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	55 ?
Unique (%)	50.0%

Sample

1st row	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd row	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>
3rd row	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>
4th row	<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>
5th row	<p>Stories about friendship and adventures of charming round heroes. Fun and musical, unexpected and dreamy, homely and adventurous. The whole world in one cozy chamomile valley.</p>

Common Values

Value	Count	Frequency (%)
nan	11	10.0%
<p>Comedian Andrew Schulz takes on the year's most divisive topics in this fearlessly unfiltered and irreverent four-part special.</p>	4	3.6%
<p>Hermann has excellent prospects of winning the Nobel Prize in Economics. If only he hadn't died shortly before the award winner was announced. The dead don't win prizes.</p>	4	3.6%
<p>Set in a world of anthropomorphic animals, Summer Camp Island follows two best friends Oscar, and Hedgehog, and Oscar who are dropped off at a surreal summer camp. The camp is a host to many odd occurrences such as: camp counselors who are composed of popular girls who know magic, horses that transform into unicorns, talking sharks, post-it notes that lead to other dimensions and nosy monsters that live under the bed. Oscar and Hedgehog must contend with these out of place events and make their stay at camp worthwhile.</p>	3	2.7%
<p>Harun and Hande are brothers with opposite characters. Hande is a professional business woman in the tourism industry.</p>	3	2.7%
<p>Strange occurrences afflict a group of people after they purchase items on a shopping website from the future. </p>	2	1.8%
<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>	2	1.8%
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>	2	1.8%
<p>A story that follows a detective in the major crimes division of Nan Xing City Police Department. Together with a woman who has super memory, he upholds the law one case at a time in solving murders, burglaries and bringing down a narcotics manufacturing facility. Jing Chu is a young and capable detective. Due to his repeated merits from cracking big cases, he is promoted to the position of major crimes division vice-captain at Nan Xing city and starts to work alongside his new team. Because of a murder case, he meets Yang Mian Mian, a young woman who possesses a photographic memory. He soon realizes that Mian Mian seems to have a deep connection to his father's mysterious death many years ago. Meanwhile, a famous blogger and a member of an idol girl group die</p>	2	1.8%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>	2	1.8%
Other values (65)	75	68.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	281	4.8%
and	217	3.7%
a	208	3.5%
to	149	2.5%
of	143	2.4%
in	108	1.8%
is	73	1.2%
with	66	1.1%
his	62	1.0%
that	52	0.9%
Other values (1776)	4555	77.0%

Most occurring characters

Value	Count	Frequency (%)
	5791	16.4%
e	3234	9.2%
a	2247	6.4%
t	2178	6.2%
n	2069	5.9%
o	2038	5.8%
i	1968	5.6%
s	1808	5.1%
r	1664	4.7%
h	1479	4.2%
Other values (92)	10757	30.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26576	75.4%
Space Separator	5808	16.5%
Uppercase Letter	1090	3.1%
Other Punctuation	1018	2.9%
Math Symbol	580	1.6%
Dash Punctuation	61	0.2%
Decimal Number	56	0.2%
Format	28	0.1%
Close Punctuation	7	< 0.1%
Open Punctuation	7	< 0.1%
Other values (2)	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3234	12.2%
a	2247	8.5%
t	2178	8.2%
n	2069	7.8%
o	2038	7.7%
i	1968	7.4%
s	1808	6.8%
r	1664	6.3%
h	1479	5.6%
l	1069	4.0%
Other values (30)	6822	25.7%

Uppercase Letter

Value	Count	Frequency (%)
T	127	11.7%
S	116	10.6%
A	71	6.5%
M	66	6.1%
C	60	5.5%
X	55	5.0%
H	53	4.9%
J	48	4.4%
B	47	4.3%
D	38	3.5%
Other values (17)	409	37.5%

Other Punctuation

Value	Count	Frequency (%)
,	382	37.5%
.	305	30.0%
/	153	15.0%
'	78	7.7%
"	48	4.7%
:	18	1.8%
!	14	1.4%
?	9	0.9%
;	5	0.5%
&	3	0.3%
Other values (3)	3	0.3%

Decimal Number

Value	Count	Frequency (%)
0	15	26.8%
1	10	17.9%
2	7	12.5%
9	6	10.7%
5	5	8.9%
3	4	7.1%
4	3	5.4%
6	3	5.4%
8	2	3.6%
7	1	1.8%

Dash Punctuation

Value	Count	Frequency (%)
-	50	82.0%
—	9	14.8%
–	2	3.3%

Space Separator

Value	Count	Frequency (%)
	5791	99.7%
	17	0.3%

Math Symbol

Value	Count	Frequency (%)
>	290	50.0%
<	290	50.0%

Format

Value	Count	Frequency (%)
‎	28	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27655	78.5%
Common	7567	21.5%
Cyrillic	11	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	3234	11.7%
a	2247	8.1%
t	2178	7.9%
n	2069	7.5%
o	2038	7.4%
i	1968	7.1%
s	1808	6.5%
r	1664	6.0%
h	1479	5.3%
l	1069	3.9%
Other values (47)	7901	28.6%

Common

Value	Count	Frequency (%)
	5791	76.5%
,	382	5.0%
.	305	4.0%
>	290	3.8%
<	290	3.8%
/	153	2.0%
'	78	1.0%
-	50	0.7%
"	48	0.6%
‎	28	0.4%
Other values (25)	152	2.0%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
е	1	9.1%
м	1	9.1%
т	1	9.1%
я	1	9.1%
к	1	9.1%
с	1	9.1%
ж	1	9.1%
у	1	9.1%
М	1	9.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35158	99.8%
Punctuation	41	0.1%
None	23	0.1%
Cyrillic	11	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5791	16.5%
e	3234	9.2%
a	2247	6.4%
t	2178	6.2%
n	2069	5.9%
o	2038	5.8%
i	1968	5.6%
s	1808	5.1%
r	1664	4.7%
h	1479	4.2%
Other values (71)	10682	30.4%

Punctuation

Value	Count	Frequency (%)
‎	28	68.3%
—	9	22.0%
–	2	4.9%
…	1	2.4%
‘	1	2.4%

None

Value	Count	Frequency (%)
	17	73.9%
é	2	8.7%
å	1	4.3%
ê	1	4.3%
ã	1	4.3%
ö	1	4.3%

Cyrillic

Value	Count	Frequency (%)
а	2	18.2%
е	1	9.1%
м	1	9.1%
т	1	9.1%
я	1	9.1%
к	1	9.1%
с	1	9.1%
ж	1	9.1%
у	1	9.1%
М	1	9.1%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	84
Distinct (%)	76.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1633537622

Minimum	1607964656
Maximum	1652126507
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1008.0 B

Quantile statistics

Minimum	1607964656
5-th percentile	1609277410
Q1	1613286265
median	1640102924
Q3	1648217029
95-th percentile	1651890656
Maximum	1652126507
Range	44161851
Interquartile range (IQR)	34930764.25

Descriptive statistics

Standard deviation	16620143.33
Coefficient of variation (CV)	0.01017432541
Kurtosis	-1.56704901
Mean	1633537622
Median Absolute Deviation (MAD)	10756662
Skewness	-0.4181877412
Sum	1.796891384 × 10¹¹
Variance	2.762291644 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1608999738	4	3.6%
1613149303	4	3.6%
1639300202	3	2.7%
1640789040	3	2.7%
1618466682	2	1.8%
1648217029	2	1.8%
1649178084	2	1.8%
1609799896	2	1.8%
1635735179	2	1.8%
1609784749	2	1.8%
Other values (74)	84	76.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1607964656	1	0.9%
1608499007	1	0.9%
1608999738	4	3.6%
1609616788	1	0.9%
1609648885	2	1.8%
1609671640	2	1.8%
1609784749	2	1.8%
1609799896	2	1.8%
1610110841	2	1.8%
1610907300	1	0.9%

Value	Count	Frequency (%)
1652126507	1	0.9%
1652067931	1	0.9%
1652016543	1	0.9%
1652004759	1	0.9%
1651981343	1	0.9%
1651933209	1	0.9%
1651838647	1	0.9%
1651777316	1	0.9%
1651749165	1	0.9%
1651429337	1	0.9%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	110
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1008.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2176148	1
https://api.tvmaze.com/episodes/1996399	1
https://api.tvmaze.com/episodes/1955318	1
https://api.tvmaze.com/episodes/1996786	1
Other values (105)	105

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	4290
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	110 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.9%
https://api.tvmaze.com/episodes/2176148	1	0.9%
https://api.tvmaze.com/episodes/1996399	1	0.9%
https://api.tvmaze.com/episodes/1955318	1	0.9%
https://api.tvmaze.com/episodes/1996786	1	0.9%
https://api.tvmaze.com/episodes/1949336	1	0.9%
https://api.tvmaze.com/episodes/1949335	1	0.9%
https://api.tvmaze.com/episodes/1949334	1	0.9%
https://api.tvmaze.com/episodes/1949333	1	0.9%
https://api.tvmaze.com/episodes/1949332	1	0.9%
Other values (100)	100	90.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.9%
https://api.tvmaze.com/episodes/2324433	1	0.9%
https://api.tvmaze.com/episodes/1995405	1	0.9%
https://api.tvmaze.com/episodes/2007760	1	0.9%
https://api.tvmaze.com/episodes/1985789	1	0.9%
https://api.tvmaze.com/episodes/2039622	1	0.9%
https://api.tvmaze.com/episodes/2039623	1	0.9%
https://api.tvmaze.com/episodes/2324427	1	0.9%
https://api.tvmaze.com/episodes/2324428	1	0.9%
https://api.tvmaze.com/episodes/2324429	1	0.9%
Other values (100)	100	90.9%

Most occurring characters

Value	Count	Frequency (%)
/	440	10.3%
p	330	7.7%
s	330	7.7%
e	330	7.7%
t	330	7.7%
o	220	5.1%
a	220	5.1%
i	220	5.1%
.	220	5.1%
m	220	5.1%
Other values (16)	1430	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2750	64.1%
Other Punctuation	770	17.9%
Decimal Number	770	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	330	12.0%
s	330	12.0%
e	330	12.0%
t	330	12.0%
o	220	8.0%
a	220	8.0%
i	220	8.0%
m	220	8.0%
h	110	4.0%
d	110	4.0%
Other values (3)	330	12.0%

Decimal Number

Value	Count	Frequency (%)
9	119	15.5%
2	115	14.9%
1	99	12.9%
0	99	12.9%
3	67	8.7%
6	63	8.2%
8	62	8.1%
7	53	6.9%
4	49	6.4%
5	44	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	440	57.1%
.	220	28.6%
:	110	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2750	64.1%
Common	1540	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	440	28.6%
.	220	14.3%
9	119	7.7%
2	115	7.5%
:	110	7.1%
1	99	6.4%
0	99	6.4%
3	67	4.4%
6	63	4.1%
8	62	4.0%
Other values (3)	146	9.5%

Latin

Value	Count	Frequency (%)
p	330	12.0%
s	330	12.0%
e	330	12.0%
t	330	12.0%
o	220	8.0%
a	220	8.0%
i	220	8.0%
m	220	8.0%
h	110	4.0%
d	110	4.0%
Other values (3)	330	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4290	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	440	10.3%
p	330	7.7%
s	330	7.7%
e	330	7.7%
t	330	7.7%
o	220	5.1%
a	220	5.1%
i	220	5.1%
.	220	5.1%
m	220	5.1%
Other values (16)	1430	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1988861	https://www.tvmaze.com/episodes/1988861/sim-for-you-4x23-chanyeols-episode-23	Chanyeol's Episode 23	4.0	23.0	regular	2020-12-17	06:00	2020-12-16T21:00:00+00:00	16.0	None	<p><b>#Scared Meㅇㅍㅇ #Under The Sea♬ #The Last Supper</b></p>	41648	https://www.tvmaze.com/shows/41648/sim-for-you	Sim for You	Reality	Korean	[]	Running	16.0	16.0	2019-03-25	nan	https://www.vlive.tv/video/121637	71.0	nan	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>	1.608499e+09	https://api.tvmaze.com/episodes/1977902
1	1977892	https://www.tvmaze.com/episodes/1977892/obycnaa-zensina-2x01-seria-10	Серия 10	2.0	1.0	regular	2020-12-17	10:00	2020-12-16T22:00:00+00:00	36.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723163.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723163.jpg'}	nan	39115	https://www.tvmaze.com/shows/39115/obycnaa-zensina	Обычная женщина	Scripted	Russian	['Drama', 'Crime', 'Mystery']	Ended	50.0	48.0	2018-10-29	2021-01-07	https://premier.one/show/8405	36.0	nan	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>	1.610111e+09	https://api.tvmaze.com/episodes/2015818
2	1977898	https://www.tvmaze.com/episodes/1977898/obycnaa-zensina-2x02-seria-11	Серия 11	2.0	2.0	regular	2020-12-17	10:00	2020-12-16T22:00:00+00:00	45.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723164.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723164.jpg'}	nan	39115	https://www.tvmaze.com/shows/39115/obycnaa-zensina	Обычная женщина	Scripted	Russian	['Drama', 'Crime', 'Mystery']	Ended	50.0	48.0	2018-10-29	2021-01-07	https://premier.one/show/8405	36.0	nan	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>	1.610111e+09	https://api.tvmaze.com/episodes/1964000
3	1963998	https://www.tvmaze.com/episodes/1963998/257-pricin-ctoby-zit-2x08-seria-21	Серия 21	2.0	8.0	regular	2020-12-17	nan	2020-12-17T00:00:00+00:00	25.0	None	nan	43722	https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit	257 причин, чтобы жить	Scripted	Russian	['Drama', 'Comedy']	Ended	25.0	24.0	2020-03-26	2021-01-21	https://start.ru/watch/257-prichin-chtoby-zhit	38.0	nan	<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>	1.617284e+09	https://api.tvmaze.com/episodes/1995405
4	1949910	https://www.tvmaze.com/episodes/1949910/smesariki-novyj-sezon-1x31-emigrant-cast-1	Эмигрант. Часть 1	1.0	31.0	regular	2020-12-17	nan	2020-12-17T00:00:00+00:00	6.0	None	nan	48151	https://www.tvmaze.com/shows/48151/smesariki-novyj-sezon	Смешарики. Новый сезон	Animation	Russian	['Comedy', 'Family']	Running	7.0	7.0	2020-05-18	nan	https://www.kinopoisk.ru/series/1379016/	79.0	nan	<p>Stories about friendship and adventures of charming round heroes. Fun and musical, unexpected and dreamy, homely and adventurous. The whole world in one cozy chamomile valley.</p>	1.646905e+09	https://api.tvmaze.com/episodes/2007760
5	1949911	https://www.tvmaze.com/episodes/1949911/smesariki-novyj-sezon-1x32-zag	Заг	1.0	32.0	regular	2020-12-17	nan	2020-12-17T00:00:00+00:00	6.0	None	nan	48151	https://www.tvmaze.com/shows/48151/smesariki-novyj-sezon	Смешарики. Новый сезон	Animation	Russian	['Comedy', 'Family']	Running	7.0	7.0	2020-05-18	nan	https://www.kinopoisk.ru/series/1379016/	79.0	nan	<p>Stories about friendship and adventures of charming round heroes. Fun and musical, unexpected and dreamy, homely and adventurous. The whole world in one cozy chamomile valley.</p>	1.646905e+09	https://api.tvmaze.com/episodes/1985789
6	1960728	https://www.tvmaze.com/episodes/1960728/psih-1x07-osoznanie	Осознание	1.0	7.0	regular	2020-12-17	12:00	2020-12-17T00:00:00+00:00	61.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/301/752692.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/301/752692.jpg'}	nan	49280	https://www.tvmaze.com/shows/49280/psih	Псих	Scripted	Russian	['Drama', 'Thriller']	Ended	62.0	62.0	2020-11-05	2020-12-24	https://more.tv/psih	29.0	nan	<p>Oleg is a metropolitan psychotherapist. Clients of the central district of Moscow line up to him. Only lately Oleg doesn't like them, he tolerates them. Midlife crisis, life with mom at 40, loss of self-esteem, drug addiction, irritability and growing aggression. None of the clients are aware of his problems. From the outside, he seems successful, happily married, wealthy. Nobody knows the truth.</p><p> </p><p>A year ago, his wife went missing. She has been gone for 384 days.</p>	1.619195e+09	https://api.tvmaze.com/episodes/2039622
7	1982405	https://www.tvmaze.com/episodes/1982405/volk-1x07-seria-07	Серия 07	1.0	7.0	regular	2020-12-17	nan	2020-12-17T00:00:00+00:00	51.0	None	nan	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	['Drama', 'Adventure', 'Mystery']	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339	25.0	nan	nan	1.640436e+09	https://api.tvmaze.com/episodes/2039623
8	1982406	https://www.tvmaze.com/episodes/1982406/volk-1x08-seria-08	Серия 08	1.0	8.0	regular	2020-12-17	nan	2020-12-17T00:00:00+00:00	51.0	None	nan	52181	https://www.tvmaze.com/shows/52181/volk	Волк	Scripted	Russian	['Drama', 'Adventure', 'Mystery']	Ended	51.0	50.0	2020-12-07	2020-12-28	https://premier.one/show/12339	25.0	nan	nan	1.640436e+09	https://api.tvmaze.com/episodes/2324427
9	1988012	https://www.tvmaze.com/episodes/1988012/muzskaa-tema-1x01-seria-1	Серия 1	1.0	1.0	regular	2020-12-17	12:00	2020-12-17T00:00:00+00:00	33.0	None	nan	52520	https://www.tvmaze.com/shows/52520/muzskaa-tema	Мужская тема	Talk Show	Russian	[]	Ended	30.0	30.0	2020-12-17	2020-12-25	https://www.ivi.ru/watch/muzhskaya-tema	3.0	nan	<p><b>Мужская тема</b> is a symbiosis of talk shows and modern podcasts, where male celebrities answer questions that concern people in the XXI century. Bright representatives of show business, theater, pop, cinema, sports, as well as Internet stars meet in the barbershop. Here, on male territory, they can openly discuss a variety of topics, sometimes seriously, and sometimes with humor. This is a chance to see the idol in a confidential communication without notes, compare his opinion with your own and hear what men really talk about when there is not a single girl around.</p>	1.616723e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
100	1988001	https://www.tvmaze.com/episodes/1988001/12-dates-of-christmas-s01-special-unwrapped	Unwrapped	1.0	NaN	insignificant_special	2020-12-17	nan	2020-12-17T17:00:00+00:00	50.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/289/723341.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/289/723341.jpg'}	<p>Hosted by D.J. "Shangela" Pierce (HBO's "We're Here," "RuPaul's Drag Race," "A Star Is Born"), this reunion special is a chance for Chad, Faith, Garrett and their love interests to unwrap everything that's gone down since last Christmas - from settling scores and revealing juicy behind-the-scenes stories to unmasking secret hookups and answering whether our couples stayed together... or said goodbye. With her trademark flair, humor and insight, Shangela stokes the Yule log fire.</p>	45470	https://www.tvmaze.com/shows/45470/12-dates-of-christmas	12 Dates of Christmas	Reality	English	['Romance']	To Be Determined	NaN	43.0	2020-11-26	nan	https://play.hbomax.com/series/urn:hbo:series:GX6MzzwZycJYSwwEAAALF	44.0	nan	<p><b>12 Dates of Christmas</b> is a holiday-inspired dating series set in a stunning winter wonderland. The series follows a cast of singles as they step into a real-life romantic comedy full of cozy sweaters, fireside cuddles, and mistletoe kisses, all arranged to help these souls find love - just in time for the holidays.</p>	1.651110e+09	https://api.tvmaze.com/episodes/2001671
101	1980779	https://www.tvmaze.com/episodes/1980779/tyler-perrys-ruthless-1x18-drinking-my-scotch	Drinking My Scotch	1.0	18.0	regular	2020-12-17	nan	2020-12-17T17:00:00+00:00	43.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/731964.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/731964.jpg'}	<p>Cynthia is in disbelief as she has finally caught Malcolm and Sarah in their long-standing affair. Ruth shares troubling news with Oliver about what really happens when the girls leave with Lilo. The Highest and River's relationship grows as Dikahn's dislike for River grows. </p>	46668	https://www.tvmaze.com/shows/46668/tyler-perrys-ruthless	Tyler Perry's Ruthless	Scripted	English	['Drama']	Running	45.0	45.0	2020-03-19	nan	https://www.bet.plus/shows/tyler-perrys-ruthless	93.0	nan	<p>The riveting story of a woman named Ruth who kidnaps her young daughter to join her in the dark underworld of a fanatical religious cult. Based on a character introduced in <i>Tyler Perry's The Oval</i>.</p>	1.651981e+09	https://api.tvmaze.com/episodes/2001672
102	1950701	https://www.tvmaze.com/episodes/1950701/texas-6-1x06-the-rivalry	The Rivalry	1.0	6.0	regular	2020-12-17	nan	2020-12-17T17:00:00+00:00	38.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726711.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726711.jpg'}	<p>Perhaps the biggest rivalry in six-man football, the Greyhounds take on their cross-town rival, the Gordon Longhorns with all of Strawn watching.</p>	51316	https://www.tvmaze.com/shows/51316/texas-6	Texas 6	Documentary	English	['Sports']	Running	NaN	36.0	2020-11-26	nan	https://www.cbs.com/shows/texas-6/	54.0	nan	<p><b>Texas 6</b> takes place in Strawn, Texas and follows the Greyhounds, a high school six-man football team under the direction of Coach Dewaine Lee, as they attempt a three-peat for the 6-Man Football State Championship. While football remains the spine of Strawn, <i>Texas 6</i> ultimately depicts the spirit of a small town and a team that shows up for one another on and off the field.</p>	1.637773e+09	https://api.tvmaze.com/episodes/2001673
103	1962891	https://www.tvmaze.com/episodes/1962891/terror-lake-drive-1x04-something-about-aj	Something About AJ	1.0	4.0	regular	2020-12-17	nan	2020-12-17T17:00:00+00:00	60.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/363/908141.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/363/908141.jpg'}	<p>AJ starts exuding some odd behavior as he protests to go back to Baltimore. Mounting inconsistencies emerge about Corey that leaves Sam in doubt.</p>	51706	https://www.tvmaze.com/shows/51706/terror-lake-drive	Terror Lake Drive	Scripted	English	['Drama']	Running	60.0	60.0	2020-11-26	nan	https://allblk.tv/terrorlakedrive/	75.0	nan	<p><b>Terror Lake Drive</b> follows a single mother from Baltimore who—on the heels of a recent pandemic and growing social unrest—relocates to Atlanta in an attempt to dodge her troubled past. As she settles into her new surroundings, she soon discovers that there are some things she can never run away from.</p>	1.633448e+09	https://api.tvmaze.com/episodes/2001674
104	2008333	https://www.tvmaze.com/episodes/2008333/for-the-love-of-jason-1x05-were-just-hanging-out	We're Just Hanging Out	1.0	5.0	regular	2020-12-17	nan	2020-12-17T17:00:00+00:00	25.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/292/732257.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/292/732257.jpg'}	<p>Jason goes on a date with a woman who is forced to bring her young son along, and it's clear he has no home training. The date quickly goes bad and leads him back to Carmen. Bryan deals with the fallout of his relationship much to the crew's dismay. Lacy gets the call for a new opportunity. Carmen makes herself comfortable in Jason's life.</p>	51899	https://www.tvmaze.com/shows/51899/for-the-love-of-jason	For the Love of Jason	Scripted	English	['Drama']	Running	NaN	25.0	2020-11-19	nan	https://allblk.tv/fortheloveofjason/	41.0	nan	<p>Jason has always had it together. He's educated and financially stable with no baby mama drama. When he broke off his longtime relationship, he got caught up in the bachelor lifestyle, not realizing life was passing him by. One by one, his friends start settling down, leaving Jason the odd man out. He now feels pressure to catch up and finds himself in awkward dating encounters with women. Through it all, his friends are there to help him along the way.</p>	1.646530e+09	https://api.tvmaze.com/episodes/2007691
105	2236493	https://www.tvmaze.com/episodes/2236493/notruf-hafenkante-15x12-abistreich	Abistreich	15.0	12.0	regular	2020-12-17	19:25	2020-12-17T18:25:00+00:00	45.0	None	nan	17046	https://www.tvmaze.com/shows/17046/notruf-hafenkante	Notruf Hafenkante	Scripted	German	['Drama', 'Crime']	Running	45.0	50.0	2007-01-04	nan	https://www.zdf.de/serien/notruf-hafenkante	4.0	nan	nan	1.645352e+09	https://api.tvmaze.com/episodes/2007692
106	1977415	https://www.tvmaze.com/episodes/1977415/goede-tijden-slechte-tijden-31x64-aflevering-6319	Aflevering 6319	31.0	64.0	regular	2020-12-17	20:00	2020-12-17T19:00:00+00:00	23.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/720705.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/720705.jpg'}	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/2031800
107	1976647	https://www.tvmaze.com/episodes/1976647/wwe-nxt-uk-2020-12-17-episode-51	Episode 51	2020.0	51.0	regular	2020-12-17	15:00	2020-12-17T20:00:00+00:00	60.0	None	nan	39053	https://www.tvmaze.com/shows/39053/wwe-nxt-uk	WWE NXT UK	Sports	English	[]	Running	60.0	60.0	2018-10-17	nan	nan	84.0	nan	<p>The one-hour episodes will feature the biggest names from NXT UK, including Pete Dunne, Mark Andrews, Rhea Ripley, Toni Storm, Tyler Bate, Trent Seven and Wolfgang. Joining the NXT UK broadcasting team as backstage interviewer is British broadcasting personality Radzi Chinyanganya, best known for hosting ITV game show "Cannonball," and in his ongoing role as a presenter of the world's longest-running children's TV show, the BBC's "Blue Peter." Calling the action are commentators Nigel McGuinness and Vic Joseph, joined by ring announcer Andy Shepherd and NXT UK General Manager, the legendary Johnny Saint.</p>	1.652005e+09	https://api.tvmaze.com/episodes/2034364
108	2041990	https://www.tvmaze.com/episodes/2041990/titan-fc-2020-12-17-titan-fc-66-assis-vs-holloway	Titan FC 66: Assis vs. Holloway	2020.0	8.0	regular	2020-12-17	22:00	2020-12-18T03:00:00+00:00	120.0	None	nan	16665	https://www.tvmaze.com/shows/16665/titan-fc	Titan FC	Sports	English	[]	Running	NaN	102.0	2006-03-11	nan	http://www.titanfighting.com	4.0	nan	<p>Titan Fighting Championship is an American mixed martial arts promotion based out of Pompano Beach, FL. Their shows were originally run in and near Kansas City and have since expanded to include venues all over North America and eventually, international locations.</p>	1.648432e+09	https://api.tvmaze.com/episodes/2035877
109	2008338	https://www.tvmaze.com/episodes/2008338/beyond-the-pole-s01-special-living-under-lockdown	Living Under Lockdown	1.0	NaN	insignificant_special	2020-12-17	22:00	2020-12-18T03:00:00+00:00	60.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/378/946214.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/378/946214.jpg'}	<p>From virtual strip clubs to OnlyFans, the queens of hustle and grind are back for a unique behind the scenes look at their journey to financial freedom. When Atlanta shuts down its famous nightlife scene due to a global pandemic, the clubs' exotic dancers, bartenders, and bottle girls struggle to find income streams. Ms. Dime, Angel Kake, Empress, and Lyric self-document their fight for survival.</p><p><i>Premiered on WEtv</i></p>	40633	https://www.tvmaze.com/shows/40633/beyond-the-pole	Beyond the Pole	Reality	English	[]	Ended	60.0	60.0	2019-01-03	2021-08-05	https://allblk.tv/beyondthepole	41.0	nan	<p>The day and the life of six popular Atlanta strippers trying desperately to start businesses off the pole.</p>	1.640896e+09	https://api.tvmaze.com/episodes/2035880

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